Job Function: Data Analytics & Computational Sciences
Job Sub Function: Biostatistics
Job Category:Scientific/Technology
All Job Posting Locations:Spring House, Pennsylvania, United States of America
Job Description:About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
We are searching for the best talent for a
Senior Scientist, Biostatistician, Immunology Early Development in Spring House, PA.
Purpose: The
Senior Scientist, Biostatistician, provides statistical support to early development projects in Immunology area including compound development plans, study design, analysis planning and execution, modeling, interpretation, and communication of trial results, and is key member and statistical methodology expert in the compound team.
You will be responsible for:- The Senior Scientist, Biostatistician works as a lead statistician to provide statistical thinking and contributions to the delivery of studies, development plans, regulatory strategy, high-quality decision support to enable informed compound development decision making.
- This individual is accountable for execution of individual project responsibilities, including meetings with necessary project team members, reporting activities, data analyses, and support publications for individual clinical trials/projects.
- In addition, s/he investigates and applies novel statistical approaches for relevant statistical issues including modeling and simulation; contributes to or leads the improvement of processes, standards and best practices within the statistical department; and interacts with external scientists and represents J&J via publications and presentations on novel statistical approaches and best practices.
Qualifications / Requirements:Education: Ph.D. in Statistics or related field with 2+ years relevant experience, or Master's in Statistics or related field with 4+ years relevant experience.
Experience/Skills:- Proficiency in SAS or R or other relevant computational tools
- Excellent communication skills and ability to build strong relationships
- Demonstrated ability to work independently and in interdisciplinary setting
- Demonstrated knowledge in pharmaceutical research and development strategies and execution including trial design, modeling, analysis planning, analysis execution, interpretation, and statistical communications
#LI-Hybrid
Required Skills: Preferred Skills:Advanced Analytics, Biostatistics, Clinical Trials, Collaboration, Consulting, Critical Thinking, Data Privacy Standards, Data Quality, Data Savvy, Digital Fluency, Good Clinical Practice (GCP), Quality Assurance (QA), Report Writing, Standard Operating Procedure (SOP), Statistical Analysis Systems (SAS) Programming, Statistics, Systems Development, Technologically Savvy
